Responsible for developing, modifying and/or maintaining applications in the Global Markets environment. Software developers design, code, test, debug and document programs as well as maintain corporate systems architecture. Employees work closely with business partners in defining requirements for system applications. Employees typically have in-depth knowledge of development tools and languages. Employees are expected to have in-depth global markets product knowledge, and manage a high level of risk. Is clearly recognized as a content expert by peers. Coordinates resources across various applications, operations or projects. Manages employees and makes all decisions on personnel actions including staffing, performance management and comp decision-making. Monitors progress and adjusts resources and priorities accordingly. Typically requires 10+ years of applicable experience. This job code is only to be used for employees supporting Global Markets.
Enterprise Risk Finance Technology (ERFT):
Enterprise Capital Management and Forecasting Technology team is looking for a hands-on Senior Data Scientist to undertake multiple advanced analytics initiatives and work across Treasury business partners to identify and implement data mining and advanced analytical techniques to produce easy to use analytical solutions.
Enterprise Capital Management and Forecasting Technology supports many key business such as Capital Management, Liquidity Forecasting for resolution planning, Funds Transfer Pricing, End to End forecasting and Stress Testing etc. The candidate would be required to work across these business leads across these LOB’s and suggest optimization use cases. The Data Scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models, data mining, causal inferences, predictions, optimizations, and recommendations for the Treasury Team.
Shift:1st shift (United States of America)
Hours Per Week:40
Learn more about this role